Next Article in Journal
Bluetooth-Beacon-Based Underground Proximity Warning System for Preventing Collisions inside Tunnels
Next Article in Special Issue
Thermal Properties of PEG/Graphene Nanoplatelets (GNPs) Composite Phase Change Materials with Enhanced Thermal Conductivity and Photo-Thermal Performance
Previous Article in Journal
PlantES: A Plant Electrophysiological Multi-Source Data Online Analysis and Sharing Platform
Previous Article in Special Issue
Influence of Thickness and Lateral Size of Graphene Nanoplatelets on Water Uptake in Epoxy/Graphene Nanocomposites
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Facile Preparation of Graphene Oxide-MIL-101(Fe) Composite for the Efficient Capture of Uranium

MOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(11), 2270; https://doi.org/10.3390/app8112270
Submission received: 11 October 2018 / Revised: 8 November 2018 / Accepted: 13 November 2018 / Published: 16 November 2018
(This article belongs to the Special Issue Graphene Nanoplatelets)

Abstract

:
Graphene oxide (GO)-MIL-101(Fe) (Fe-based metal-organic frameworks (MOFs) with Fe(III) as the metal anode and 2-aminobenzene-1,4-dicarboxylic acid as a ligand) sandwich composites are designed and fabricated through a facile in situ growth method. By modulating the addition amount of GO nanosheets, composites containing MIL-101(Fe) octahedrons with a tunable dimension and density are achieved. The optimized ratio between individual components is determined through adsorption experiments. Adsorption isotherms reveal an enhanced adsorption efficiency and improved adsorption capacity of GO15-MIL-101(Fe) (GO dosage is 15 mg) in comparison with raw MIL-101(Fe) nanocrystals. Experimental evidence indicates that the removal of U(VI) by the composite is based on inner-sphere surface complexation and electrostatic interaction. The improved adsorption performance originates from the optimized synergistic effects of GO and MIL-101(Fe) octahedrons. In summary, this work offers a facile synthetic method to achieve cost-effective composites towards the U(VI) capture. It also lays the foundation for the design of novel adsorbents with the full play of component’s functionality.

Graphical Abstract

1. Introduction

The severe energy and environmental crisis calls for the development of green energy sources. Nuclear power is an effective solution for this problem as a sustainable energy source with a high efficiency. However, the radioactive contamination from the production process of nuclear energy can cause potential ecological threats and biological toxicity [1,2,3]. In particular, uranium-contamination is included in the major nuclide pollutants that are urgently required to be eliminated from the polluted waters [4]. The widely used techniques for the removal of uranyl ions consist of solvent extraction [5], ion-exchange [6], and adsorption. In particular, adsorption takes advantages of the rapid and highly efficient treatment of uranium by developing adsorbent materials with programmable functionalization [7]. Until now, much attention has been paid to the development of nanostructured adsorbents for higher adsorption efficiency [8,9]. One of the most promising directions is the fabrication of composite materials which combine the functionality of individual components into one [10,11]. The key point lies in the component selection and sophisticated structure design for the optimization of synergistic effect inside the composite materials.
Among the various adsorbents, functional carbon nanomaterials including one dimensional carbon nanofiber/nanotube, two-dimensional graphene oxide (GO) [12,13], and three dimensional functionalized carbon nanostructures take the advantages of a large surface area and easy functionalized capability, which endow them the great potential as novel adsorbents for uranium-based nuclide species [14,15,16,17,18]. Zänker et al. reported that the adsorption of uranyl ions on pristine carbon nanotube (CNT) reached 5.0 mmol g−1 at pH = 5.0 under 298 K [19]. Wang et al. demonstrated the good adsorption performance of GO towards U(VI) in aqueous solution [20]. The tedious and high-cost synthetic procedures of CNT and GO promote the studies on the fabrication of CNT/GO-based composites which maintain a good performance at a lower dosage of CNT and GO by the introduction of other components and optimizing the synergistic effects [21,22]. Compared with CNT, fabrication of GO-based composite materials benefits the adsorption properties in several ways. On the one hand, the expansive surface of GO gives rise to the easy attachment of other nanomaterials, making them excellent substrates. On the other hand, the formation of composites through surface growth method helps overcome the aggregation problem of GO in solutions, which improves the exposure of functional groups. In the past few years, various GO-based composite adsorbents with diverse functionalities have been designed and fabricated, including a magnetic GO composite [23], GO-polymer composite [24,25], GO-layered double hydroxides (LDHs) composite [26], etc.
Metal-organic frameworks (MOFs) are a series of crystalline hybrids based on the bridging network between metal ions and organic ligand molecules [27]. Owing to their high surface area, tunable porous structure, and versatile chemical functionality, MOFs have become high-profile candidates in application fields of catalysis [28], adsorption [29,30,31,32], and membrane formation [33]. Very recently, MOFs have found new opportunities in the removal of uranyl ions [34,35]. MIL-101, as a series of MOFs with different metal centers (Al, Cr, and Fe), has received much attention in the recovery of uranium polluted waters due to its chemical stability in acid solutions [36,37,38]. Compared with pristine materials, functionalized MOFs have shown optimized adsorption performance with enriched binding sites [39]. The post-synthetic strategy is the commonly used method to introduce functional groups on the MIL-101 host. However, the multistep post-grafting process is time-consuming and usually involves polluting acid such as HNO3 [40]. One step or the in situ fabrication of MOF-based composite is a more facile and environmentally benign synthetic method to achieve novel adsorbents with a satisfying performance. Several previous studies have provided excellent examples for GO-MOF composites as adsorbents [41,42].
Herein, we presented the fabrication of the GO-MIL-101(Fe) composite through in situ growth method. Different ratio of GO and MIL-101(Fe) in the composite was tuned through changing the addition amount of GO nanosheets. The size and distribution density of MOF polyhedrons varied due to the interference of the functional groups on GO nanosheets towards the nucleation and growth of MIL-101 seed. Morphology imaging based on scanning electron microscopy (SEM) and a composition analysis from powder X-ray diffraction (XRD), Attenuated total internal reflection Fourier (ATR-FTIR) and X-ray photoelectron spectroscopy (XPS) measurements evidenced the successful synthesis of the composite material. Batch adsorption experiments further confirmed the much better adsorption performance of the GO15-MIL-101(Fe) composite than pristine MIL-101(Fe) with larger U(VI) adsorption capacity and superior reusing ability. Mechanism analysis further illustrated the importance of optimizing synergistic effects between individual components in improving the adsorption performance. This work would benefit the design and development of composite adsorbents with a versatile functionalization for the potential application in the effective recovery of U(VI) pollution.

2. Materials and Methods

2.1. Chemicals

Graphite (CP grade, ≤300 mesh) was purchased from Sinopharm Chemical Regent, Beijing, China. Iron(III) chloride hexahydrate (FeCl3·6H2O, 97 wt%), 2-aminobenzene-1,4-dicarboxylic acid (NH2-H2BDC, 98 wt%), and N,N-dimethylformamide (DMF, 99.8 wt%) were provided by Alfa Aesar, Shanghai, China. Polyvinylpyrrolidone (PVP, Mw = 30,000) was provided by Xilong Scientific Co., Ltd., Shanghai, China. Uranyl nitrate was obtained from Sigma Aldrich, Beijing, China. The graphene oxide (GO) was synthesized based on the Hummers method [43].

2.2. Characterization

The dimension and morphology of all the samples were obtained from scanning electron microscopy (SEM) (Hitachi S4800, Tokyo, Japan). X-ray diffraction (XRD) D/max-TTRIII (Rigaku, Tokyo, Japan) was used to provide the crystalline information of the samples. Attenuated total internal reflection Fourier (ATR-FTIR) spectra were obtained on a Bruker TENSOR-27 (Bruker Optics, Bremen, Germany). The surface composition and binding state information were achieved from X-ray photoelectron spectroscopy (XPS) (Thermo Escalab 250Xi, Waltham, MA, USA). Pore information and specific surface area were analyzed by a Micromeritics ASAP 2010 (Norcross, GA, USA). ζ potential data were collected from a Zetasizer Nano ZS (Malvern Instrument, Worcestershire, UK). For measuring the zeta potential, the pH values of the achieved samples (cNaCl = 10 mM) were adjusted to values between 1 and 11 by adding HCl or NaOH, respectively.

2.3. Fabrication of the GO-MIL-101(Fe) Composite with Different GO Contents

GO-MIL-101(Fe) was synthesized with an in situ growth method. In a typical procedure, 10 mg, 15 mg, 18 mg, 20 mg of GO and 54.1 mg of FeCl3·6H2O (0.2 mmol) were dispersed in 6 mL DMF and formed solution A, 18.2 mg NH2-H2BDC (0.1 mmol) and 4 mg PVP were dissolved in 6 mL DMF to form solution B. Subsequently, solutions A and B were placed in a microwave vessel and sealed. After reaction at 160 °C for 10 min, the solid products were collected by centrifugation at 5000 rpm for 10 min. The samples were washed twice with DMF followed by washing with ethanol two times to remove residual DMF. Finally, the product was dried in vacuum overnight for further use. The achieved composite was denoted as GO10(15, 18, 20)-MIL-101(Fe). MIL-101(Fe) materials were fabricated according to the above method without the addition of GO. The mass ratio of GO and MIL-101(Fe) was calculated to be 1:7.42 by measuring the mass of both GO15-MIL(101) and the original added GO.

2.4. Batch Sorption Experiments

The adsorption properties of composite samples were studied by batch experiments. Stock dispersions of adsorbents including MIL-101(Fe) and the GO10(15, 18, 20)-MIL-101(Fe) composites were prepared with a concentration of 1.2 g L−1. U (VI) stock solution (0.2 g L−1) was also prepared. Adsorption suspensions to perform adsorption experiment with different conditions were prepared by diluting the stock adsorbent suspension and U(VI) solution with distilled water. The adsorbent concentration in the adsorption suspension was 0.20 g L−1 except for the adsorption experiment with different adsorbent doses. The initial U concentration of 10 mg L−1 is selected to study the adsorption behavior of the GO-Fe MOF composite towards U(VI), which simulated the example of industrial effluents with a relatively high U concentration. The effect of pH on the adsorption efficiency was investigated by tuning the solution pH with a different concentration of HNO3 or NaOH (0.01 mM~0.1 M), which guaranteed that the added amount of HNO3 or NaOH was almost negligible in comparison with the volume of the adsorption solution. The pH modulation process was monitored by a pH meter. The adsorption efficiency of GO15-MIL-101(Fe) under different initial U concentrations (0.035 mg L−1, 1.3 mg L−1, 3 mg L−1) was also tested (pH = 5.5, T = 298 K). These concentrations took reference from a previous study [6]. The adsorption isotherms were achieved by performing adsorption experiment under different initial U(VI) concentrations (5 mg L−1~70 mg L−1 with 5 mg L−1 intervals) under pH = 5.5 at different temperatures (298 K, 313 K, 328 K). The pH of the adsorption suspensions was tuned to 5.5 at 298 K and then the adsorption solutions were placed in a shaker under different temperatures. Adsorption kinetics were performed at ambient temperature (pH = 5.5). The influence of coexisting ions (cations from NaNO3, KNO3, Mg(NO3)2, Ca(NO3)2 and anions from NaNO3, NaCl, Na(SO4)2, and Na(CO3)2, the concentration was 0.01 M) towards the adsorption performance was further investigated. Particularly, the removal efficiency of U(VI) on GO15-MIL-101(Fe) and MIL-101(Fe) was compared in simulated surface water and groundwater. The pH, composition, and related ion concentrations were determined based on previous studies (Table S1) [44]. The suspension was agitated for over 24 h to achieve equilibrium. The concentration of uranyl ions under equilibrium was confirmed by the Arsenazo III based colorimetric method. U (VI) can form a binary complex with Arsenazo III. The uranyl ion content was determined by measuring the absorbance of the complex at 656 nm. Samples with U(VI) concentration in ppb level were tested via inductively coupled plasma optical emission spectrometry (ICP-OES) analysis. The adsorption percentage (Adsorption, %) and adsorption capacity (qe, mg g−1) can be obtained based on the following equations:
Adsorption = ( C 0 C e ) C 0 × 100 %
q e = ( C 0 C e ) × V m
where, C0 (mg L−1) and Ce (mg L−1) correspond to the U(VI) concentration of the adsorption suspension at the beginning and equilibrium, respectively. V (mL) and m (g) are the solution volume and adsorbent dosage, respectively. Triplicate measurements showed that the relative errors were within 5%.

2.5. Desorption and Reusing Studies

The reusing ability of the GO15-MIL-101(Fe) was studied through monitoring the adsorption efficiency of the 8-cycles regenerated samples. U(VI) was desorbed from the sample through the washing process of 0.1 M HNO3. The as regenerated sample was centrifuged and washed with deionized water for the removal of acid. Then the dried powder was used in the next adsorption process. The U containing HNO3 wastewater was collected by a professional liquid waste treatment plant or stored to be reused as raw pollutant water in further U removal research.

3. Results and Discussion

3.1. Characterization of GO-MIL-101(Fe) Composite

As shown in Figure 1a, pure GO presented a two-dimensional morphology with lateral size up to tens of micrometers. GO-MIL-101(Fe) composites were fabricated through a facile one-pot in situ growth method. The component ratio was adjusted by tuning the addition amount of GO in the synthetic precursor solution. Figure 1b–d confirmed the successful growth of nanosized MIL-101(Fe) octahedrons on GO nanosheets. The negligible dispersed MIL-101(Fe) indicated that most MIL-101(Fe) nanoparticles formed on the GO matrix. Moreover, MIL-101 octahedrons were well distributed on both sides of the GO nanoplatelets, which guaranteed the synergistic interaction between individual compositions. Notably, the dimension of MIL-101(Fe) octahedrons in the composite decreased with the amount of GO increasing (460 nm for GO10-MIL-101(Fe), 350 nm for GO15-MIL-101(Fe), and 150 nm for GO20-MIL-101(Fe)). It was reported that low concentrations of a monocarboxylic acid with different pKa values (1.60~10.15) could modulate the crystal growth of MIL-101(Cr), with higher pKa leading to smaller nanoparticles [45]. GO synthesized from Hummers method possessed many oxygenated groups like carboxylic (pKa = 4.3 and 6.6) and phenolic groups (pKa = 9.8) [46]. Therefore, both carboxylic groups and phenolic groups gave rise to the controlling of the size of MIL-101 in GO15-MIL-101(Fe) composite. Considering that most MIL-101 octahedrons nucleated on the surface of GO, phenolic groups with especially high pKa played a dominant role. We postulated that GO interfered with the nucleation of MIL-101(Fe) which led to smaller sized nanoparticles with the addition amount of GO increasing.
As shown in Figure S1, all the XRD patterns of the composite materials showed peaks at 2θ = 5.88° and 9.08°, which can be assigned to typical (531), (911) diffractions of MIL-101(Fe), confirming the successful synthesis of the composite sample [47,48]. However, the decreased peak intensity in GO20-MIL-101(Fe) indicated the reduction of MOF crystallinity, which was also reflected from the loss of the octahedron morphology. ATR-FTIR spectroscopy was used to identify the functional groups of the GO-MIL-101(Fe) composite. The broad band in the range of 3000 cm−1~3500 cm−1 originated from the hydroxyl groups of absorbed water molecules. The IR signals at 3475 cm−1 and 3345 cm−1 in Figure 2a corresponded to the asymmetric and symmetric N–H stretching vibrations in amino groups of MIL-101(Fe) [49]. Because of the low concentration of MIL-101(Fe) in the composite, these peaks became negligible in Figure 2b,c. For the sample MIL-101, FT-IR signals at 1575 cm−1 and 1429 cm−1 were asymmetric and symmetric stretching of carboxylic groups in the organic ligand NH2BDC, respectively [50,51]. The peak at ~1379 cm−1 obviously indicated the effect of the amino groups on the symmetric stretching of carboxylic groups. C–N-stretching vibrations were clearly recognized at 1257 cm−1 in IR spectrum of MIL-101(Fe) [40]. The spectrum peaks at 1501 cm−1 and 767 cm−1 can be attributed to the stretching vibration (C=C) and deformation vibration (C–H) of benzene, respectively [52]. As shown in Figure 2b, the asymmetric stretching of O=C–O, C–N stretching, and C–H deformation vibration were suppressed, which was more obvious with the GO increasing. This result implied the modulation of GO towards the growth of MIL-101(Fe). The comparison of FTIR spectra between GO15-MIL-101(Fe) and that loaded with uranyl ions can be used to deduce the uranyl ions-composite interaction. As shown in Figure 2c, the peak at ~920 cm−1 can be assigned to the stretching vibration of the linear structure of the UO22+ group in the U(VI)-loaded materials [53].
The XPS measurement provided the information of elemental composition and surface binding condition of GO-MIL-101(Fe) composite. XPS survey spectra showed the typical peaks of Fe2p, C1s, O1s, and N1s in GO-MIL-101(Fe) composites and additional U4f peaks upon the uptake of uranyl ions (Figure 3a). The O auger signal (976 eV) was observed [54]. The Fe auger signals (893 eV, 841 eV, and 786 eV) and U4d5/2 signal (740 eV) [55,56] were also recognized. XPS signals at 311 eV and 554.9 eV can be assigned to the C1s and O1s satellite peaks [57,58,59]. The negligible observation of the characteristic signal of DMF molecules (C–N symmetric stretching at 866 cm−1 and the O=C–N stretching mode at 659 cm−1) indicated the removal of residual DMF molecules in the system. The C1s spectra of the composite materials can be deconvoluted into three peaks including C–C, C–O, and C=O with the binding energy increasing. O1s spectra were composed of oxygen anion (OH−1) at 530.9 eV, C=O (carboxylic group) at 531.5 eV and C–O in aromatic rings, phenols, and ethers at 533.4 eV [60]. The analysis of the XPS data for GO-MIL-101(Fe) samples before and after the uranyl ions adsorption demonstrated the interaction between the adsorbents and U(VI). As shown in Figure 3b, GO-MIL-101(Fe)-U(VI) exhibited typical U4f XPS peak which consisted of two doublet-peaks at 382 eV (U4f7/2) and 392 eV (U4f5/2) [6]. The peak at 399.97 eV and 403.13 eV corresponded to the N1s XPS signal with the former corresponding to the amine groups on MIL-101(Fe) and the latter peak indicated the presence of N doping in the form of pyridinic N-oxide on GO. Such N doping may originate from the DMF treatment under the solvothermal condition [61]. The decreased intensity of the N1s peak in GO-MIL-101(Fe)-U in comparison with the raw sample indicated that the amino group of NH2BDC ligand contributed partial adsorption performance. The decreased intensity of C–O and C=O peaks of C1s as well as the decreased area of O1s peaks indicated the interaction between the uranyl ions and different sort of functionalized oxygen groups on the composite. The XPS analysis evidenced the synergistic effect of GO and MIL-101(Fe) in the removal of U(VI), which agrees well with the FT-IR results.
Brunauer–Emmett–Teller (BET) analysis further provided the surface area and pore structure information. MIL-101(Fe) showed a mixture of type I and IV adsorption-desorption isotherms with the sharp N2 uptakes at low relative pressure (P/P0 < 0.1), indicating its micro/mesoporous structure (Figure S2a) [62]. The pore size distribution result (Figure S2b) indicated the existence of 2.15 nm and 2.52 nm mesocages and 1.26 nm microcages in MIL-101(Fe). In contrast, GO-15-MIL-101(Fe) also exhibited characteristics of type II isotherms, which revealed that the introduction of macropores in the composite (Figure S2c). The H3-type hysteresis loops implied that the sandwich structures formed in the 2-D GO nanosheets-MIL-101 octahedrons composite gave rise to slit mesopores [47,63]. Figure S2d further showed enlarged mesocages of ~2.75 nm. Both isotherm observation and statistic data (Table S2) showed that GO15-MIL-101(Fe) had a lower specific surface area and larger total pore volume than that of pure MIL-101(Fe), which resulted from the formation of meso-macropores in the composite structure. The pore texture analysis illustrated that the GO15-MIL-101(Fe) composite synthesized from the in situ growth method may modulate the pore structure of both individual components, which may optimize the adsorption performance.

3.2. U(VI) Adsorption on the GO-MIL-101(Fe)

Figure 4a showed the change of the adsorption efficiency of MIL-101(Fe) and GO-MIL-101(Fe) towards U(VI) as a function of pH. With pH varies ranging from 2.0 to 11.0, the adsorption percentage of uranyl ions increased slowly firstly (Stage I), followed by a rapid improvement (Stage II) and then it was maintained at a high level (Stage III). GO-MIL-101(Fe) composite materials exhibited decreased adsorption efficiency after Stage III. However, the pH turning point of Stage I–II and Stage II–III is different for MOF and GO-MOF composites. Pure MIL-101(Fe) and GO10-MIL-101(Fe) ended stage I at pH = 4, while that for GO15-MIL-101(Fe) and GO20-MIL-101(Fe) is pH = 3. Furthermore, pure MIL-101(Fe) begins stage III at pH > 7.4. In comparison, GO-MIL-101(Fe) composite reached high level of adsorption efficiency at lower pH (GO10-MIL-101(Fe)/92.2% at pH = 7, GO15-MIL-101(Fe)/98.1% at pH = 6.5, GO20-MIL-101(Fe)/96.7% at pH = 7). Considering the complexity of contaminated water sources, the adsorption efficiency of GO15-MIL-101(Fe) was tested with different initial U concentrations. Under initial U(VI) concentration of 0.035 mg L−1, 1.3 mg L−1 and 3 mg L−1, the adsorption percentage was 40%, 93.1%, and 99.6% with 21 µg L−1, 89 µg L−1, and 12 µg L−1 U(VI) left in water (Figure S3), respectively. The lowered adsorption percentage at U(VI) concentration of 0.035 mg L−1 may originate from the reduced driving force. The final U concentration upon treatment of contaminated waters with C0 = 0.035 mg L−1 and 3 mg L−1 by GO-MIL-101(Fe) can reach the requirement of the Chinese National Emission Standard (0.05 mg L−1) for discharged water and the US Environmental Protection Agency (EPA) (0.03 mg L−1) for potable water. This result indicated that application potential of as-prepared composite samples in the treatment of U contaminated water in a specific concentration range. Due to the highest adsorption percentage in the whole pH range, GO-15 MIL-101(Fe) was selected as the model sorbent for further adsorption experiments. Moreover, the deprotonating condition of surface functional groups can greatly affect the performance of adsorbents. Figure 4b displayed the surface charge information of the GO-MIL-101(Fe) composites and pure MIL-101(Fe). All the samples showed a decreasing trend from positive charges with pH value increased in the range of 2.0–11.0. The positive zeta potential originated from protonation of amine group in the organic linker of MIL-101(Fe), which were the dominant components of the composite samples. Compared with pure MIL-101(Fe), the composite samples had a lower zeta potential due to the introduction of GO. At each pH, GO15-MIL-101(Fe) exhibited the most negative zeta potential. The isoelectric point of GO-15MIL-101(Fe) appeared at the lowest pH. The zeta potential result of as-prepared samples agreed well with the effect of pH on the adsorption efficiency of the samples towards U(VI). For GO15-MIL-101(Fe), the surface negative charging greatly improved with the dissociation of oxygenated groups on GO nanosheets in the pH range of 3.0–7.0, which favored the adsorption of U(VI) cations. As shown in Figure S4, negative charged UO2(OH)42− would dominate in aqueous solution with pH > 9.0 [17]. The repulsion between the UO2(OH)42− species and the composite gave rise to the decreased adsorption efficiency at high pH value. The change of adsorption percentage with pH indicated the importance of the electrostatic interaction in the uptake of U(VI) on the composite. Considering the dispersibility of the composite and adsorption performance of adsorbents as well as the interference of complex hydrolysis product such as UO2(OH)2 precipitate at higher pH, a pH of 5.5 was used as the condition for the adsorption experiments. Furthermore, both samples presented improved adsorption efficiency towards U(VI) with the adsorbent dosage increasing (Figure 4c). The increasing trend can be attributed to increased adsorption sites introduced as the addition amount of adsorbents become larger. Further increasing the adsorbent dosage to 1 g L−1 gives rise to an adsorption percentage of 96%. Satisfying the treatment result can be achieved either by increasing the adsorbent addition or the adsorption steps. On the other hand, the dependence of adsorption performance on the ionic strength was investigated to evaluate the application potential of adsorbents. It is shown in Figure 4d that the amount of U(VI) adsorbed on GO-15MIL-101(Fe) fluctuated slightly in the range of ±5% as the concentration of NaNO3 increased, while that of pure MIL-101(Fe) showed an overall decreasing trend. Therefore, the uptake of U(VI) on GO-15MIL-101(Fe) is controlled by inner-sphere surface complexation [8,64].
To evaluate the removal rate of uranyl ions on the MIL-101(Fe) and composite samples, the adsorption percentage of U(VI) under different times was monitored. Figure 4e showed that both GO-15-MIL-101(Fe) and MIL-101(Fe) exhibited a rapid increasing adsorption percentage of U(VI) in the first 30 min and achieved it in 60 min. In comparison with the composite sample, the adsorption efficiency of MIL-101(Fe) had much lower equilibrium adsorption efficiency (~26%). In order to further understand the adsorption process, the adsorption kinetics were simulated by a pseudo-first-order (Equation (3)) [65] and the pseudo-second-order models (Equation (4)) [66]:
Pseudo-first-order model:
ln ( q e q t ) = ln q e k 1 t
Pseudo-second-order model:
t q t = 1 k 2 q e 2 + t q e
In Equations (3) and (4), qt and qe are the adsorption amount at time t and equilibrium, respectively. k1 and k2 correspond to the rate constants for the pseudo-first-order model and pseudo-second-order model, respectively. The kinetic plots of uranyl ions on both MIL-101(Fe) and the composite sample can be better fitted by the pseudo-second-order model with the correlation coefficients (R2) close to 1 (Table 1). This was also confirmed by the almost linear plots of t/qt as a function of t (Figure 4f). Therefore, chemisorption is one of the rate-limiting processes in the adsorption kinetics of U(VI) on GO-15-MIL-101(Fe). Moreover, the diffusion of U(VI) onto the surface of adsorbent also affected the adsorption kinetics. The more rapid adsorption performance of GO15-MIL-101(Fe) in comparison with MIL-101(Fe) may arise from the meso-macroporous structure and enlarged mesopore distribution, which served as an efficient ion diffusion channel.
The real uranium-contaminated water always had several coexisting ions which could interfere with the adsorption of uranium on the adsorbents. Therefore, the adsorption percentage of uranyl ions on MIL-101(Fe) and the composite was monitored to evaluate the effect of various cations and anions (Figure 5a,b). According to the statistics shown in Table S3, GO15-MIL-101(Fe) showed an overall improved adsorption performance in comparison with MIL-101-(Fe) under different coexisted anions and cations. Especially, the adsorption of U(VI) on the composite samples was less suppressed in the presence of Ca2+ and CO32−, while that for MIL-101(Fe) was largely reduced. Several studies have evidenced that in the presence of Ca2+ and dissolved CO32−, the formation of Ca2UO2(CO3)3(aq) can decrease the adsorption of U(VI) on adsorbents [67]. Even in aqueous solutions without Ca2+, the existence of CO32− with the concentration of 10 mM can greatly influence the speciation of U(VI) [68]. (UO2CO3(aq)) become dominant U(VI) species at pH = 5.5, leading to the decreased adsorption capacity. The slightly affected performance of GO15-MIL-101(Fe) indicated that the synergistic effect between GO and MIL-101(Fe) could greatly improve the capability of the adsorbents in resisting the interference of coexisted ions. The high retention of adsorption efficiency in simulated groundwater and surface water (Figure S4) indicated the potential of GO15-MIL-101(Fe) in uranium elimination from various wastewaters.
The maximum adsorption capacity of MIL-101(Fe) and composite samples were determined by plotting the adsorption isotherms (qe vs. Ce) under pH = 5.5 and T = 298 K. Figure 5c indicated that with the increasing of equilibrium U(VI) concentration, the equilibrium adsorption capacity increased rapidly at first and then reached a saturated value. Obviously, the GO15-MIL-101(Fe) composite possessed much higher adsorption capacity than pure MIL-101(Fe). The adsorption isotherms were simulated through the Langmuir model (Equation (5)) and Freundlich model (Equation (6)). The Langmuir model describes monolayer adsorption onto the homogeneous surface with equivalent active sites. In contrast, the Freundlich model refers to multilayer adsorption on a surface with a heterogeneous surface.
q e = b q m a x C e 1 + b C e
q e = K F C e 1 / n F
where qmax refers to the maximum adsorption capacity, b is the Langmuir constant (L mg−1), KF and nF represent the Freundlich constants corresponding to the capacity and intensity of adsorption, respectively. As listed in Table 2, the calculated qmax was 106.89 mg g−1 for the GO15-MIL-101(Fe) composite, which was much larger than that of MIL-101(Fe) (68.93 mg g−1), respectively. The larger value of R2 indicated that the Langmuir model fitted the adsorption isotherms of both the GO15-MIL-101(Fe) composite and MIL-101(Fe) better than the Freundlich model. This analysis confirmed the monolayer adsorption nature of the U(VI) adsorption on the samples. As summarized in Table S3, the GO15-MIL-101(Fe) composite an exhibited competitive adsorption capacity achieved from the facile one-pot synthetic process in comparison with other adsorbents.
As shown in Figure 5d, the thermodynamics of U(VI) adsorption on the GO15-MIL-101(Fe) composite was studied based on the adsorption isotherms at different temperatures. The fitted parameters based on Equations (5) and (6) are listed in Table 3. Clearly, qmax became larger with temperature, indicating that the adsorption of uranyl ions on GO15-MIL-101(Fe) was endothermic [69]. To evaluate how temperature affects the adsorption process, the thermodynamic parameters including the Gibbs free energy change (ΔG0), the enthalpy change (ΔH0), and the entropy change (ΔS0) were achieved from the following equations:
Δ G 0 = R T ln K 0
ln K 0 = Δ S 0 R Δ H 0 R T
Firstly, K0, the equilibrium constant, was obtained from plots of lnKd as a function of Ce while extrapolating Ce to zero ( K d = C 0 C e C e × V m ) based on the experimental data. ΔG0 under different temperatures can be further achieved from Equation (7). Figure S5 showed a good linear relationship between ln K0 and 1/T for GO15-MIL-101(Fe). The slope and intercept corresponded to ΔH0 (kJ mol−1) and ΔS0 (J mol−1 K−1) of the adsorption, respectively. The negative ΔG0 and its increased absolute value, as well as the positive ΔH0, illustrated that the uptake of U(VI) by GO15-MIL-101(Fe) was spontaneous and endothermic (Table 4). This result manifested that the adsorbed heat for U(VI) dehydration was larger than the energy which was released from the process of uranyl ions binding on the surface of the adsorbents. The positive ΔS0 (104.34 J mol−1 K−1) and very negative ΔG0 indicated the strong interaction between the GO15-MIL-101(Fe) and U(VI).
The application potential of GO15-MIL-101(Fe) was investigated through several cycles of regeneration and reusing experiments. The low adsorption efficiency of GO15-MIL-101(Fe) under pH < 3 indicated that U(VI) ions may desorb from adsorbents by decreasing the solution pH. Therefore, nitric acid was used to desorb the uranyl ions in the regeneration experiment. As shown in Figure 6, GO15-MIL-101(Fe) showed the negligible reduction of adsorption efficiency in the first two reabsorption process. The adsorption decay became obvious after 4 cycles but gradually became steady in further tests. The performance decrease may arise from the incomplete desorption of uranyl ions and the partial aggregation of the composite sample (Figure S7). Because of the growth of MIL-101(Fe) on the surface, the aggregation did not deteriorate further, giving rise to the gradually steady reusing performance. After 8 cycles the samples still maintained ~75% of the original adsorption efficiency. The results implied that GO15-MIL-101(Fe) was a promising composite adsorbent with a good reusability.

4. Conclusions

To conclude, the GO-MIL-101(Fe) sandwich composite was synthesized through a facile in situ growth method. By changing the amount of GO precursors, the size and distribution density of MIL-101(Fe) in the composites were easily tuned. Notably, batch adsorption experiments showed that GO-15-MIL-101(Fe) possessed superior adsorption performance with enhanced adsorption efficiency and improved adsorption capacity (106.89 mg g−1 at pH = 5.5, T= 298 K) compared with raw MIL-101(Fe) (68.93 mg g−1 at same condition). The uptake of U(VI) by GO15-MIL-101(Fe) was realized through the inner-sphere surface complexation as well as electrostatic interaction. FT-IR and XPS analysis illustrated the importance of the synergistic effect between GO nanosheets and MIL-101(Fe) octahedrons on the resultant adsorption performance. Moreover, the good reusing capability of GO15-MIL-101(Fe) indicated the application potential of such a composite material. Therefore, this work provided an effective route to design advanced composite adsorbents with satisfying radionuclide uptake ability by giving play to the functionality of individual components.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-3417/8/11/2270/s1, Table S1: Composition of groundwater and surface water used to evaluate the adsorption of U(VI) on GO15-MIL-101(Fe), Figure S1: XRD pattern of as-prepared MIL-101(Fe) and GO-MIL-101(Fe) composite, Figure S2: Nitrogen adsorption-desorption isotherm and pore size distribution of (a) and (b) MIL-101(Fe), (c) and (d) GO15-MIL-101(Fe), Table S2: Summary of surface area and pore volume obtained from N2 adsorption isotherms, Figure S3: The adsorption efficiency of GO15-MIL-101(Fe) towards U(VI) at different initial U(VI) concentrations (0.035 mg L−1, 1.3 mg L−1, 3 mg L−1 and 10 mg L−1). The inset numbers represent the adsorbent dosage, Figure S4: U(VI) speciation based on Visual MINTEQ program in the experimental adsorption solution ([U(VI)] = 10 mg L−1, I = 0.01 mol L−1 (NaNO3), and T = 25 °C), Table S3. Comparison of the adsorption efficiency of GO15-MIL-101(Fe) and MIL-101(Fe) under different coexisted ions with that in the absence of these ions, Figure S5: The adsorption efficiency of GO15-MIL-101(Fe) towards U(VI) in deionized water (pH = 5.5), simulated surface water (pH = 7.9) and simulated groundwater (pH = 8.0) at T = 298 K, and C0 = 10 mg L−1, adsorbent concentration = 0.2 g L−1, Table S4: Comparison of the adsorption capacity of GO-MIL-101(Fe) composite towards U(VI) with other adsorbents, Figure S6: The plot of lnK0 to 1/T of U(VI) adsorption onto GO15-MIL-101(Fe). Figure S7: The morphology of regenerated composite sample after 4 cycles, scale bar = 1 µm.

Author Contributions

B.H. conceived the project. B.H. conducted the experiment and performed the measurements with help from E.Z. and G.C. Data analysis were carried out by B.H. and E.Z. All the authors discussed the results and commented on the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (21703064) and the Fundamental Research Funds for the Central Universities (2017MS046).

Acknowledgments

The authors wish to thank the National Natural Science Foundation of China and Ministry of Education of the People’s Republic of China for the funding support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Domingo, J.L. Reproductive and developmental toxicity of natural and depleted uranium: A review. Reprod. Toxicol. 2001, 15, 603–609. [Google Scholar] [CrossRef]
  2. Holdway, D.A. Uranium toxicity to two species of Australian tropical fish. Sci. Total Environ. 1992, 125, 137–158. [Google Scholar] [CrossRef]
  3. Cheng, K.L.; Hogan, A.C.; Parry, D.L.; Markich, S.J.; Harford, A.J.; van Dam, R.A. Uranium toxicity and speciation during chronic exposure to the tropical freshwater fish, mogurnda mogurnda. Chemosphere 2010, 79, 547–554. [Google Scholar] [CrossRef] [PubMed]
  4. Tian, G.; Geng, J.X.; Jin, Y.D.; Wang, C.L.; Li, S.Q.; Chen, Z.; Wang, H.; Zhao, Y.S.; Li, S.J. Sorption of uranium(VI) using oxime-grafted ordered mesoporous carbon cmk-5. J. Hazard. Mater. 2011, 190, 442–450. [Google Scholar] [CrossRef] [PubMed]
  5. Kumar, J.R.; Kim, J.-S.; Lee, J.-Y.; Yoon, H.-S. A brief review on solvent extraction of uranium from acidic solutions. Sep. Purif. Rev. 2011, 40, 77–125. [Google Scholar] [CrossRef]
  6. Manos, M.J.; Kanatzidis, M.G. Layered metal sulfides capture uranium from seawater. J. Am. Chem. Soc. 2012, 134, 16441–16446. [Google Scholar] [CrossRef] [PubMed]
  7. Abney, C.W.; Mayes, R.T.; Saito, T.; Dai, S. Materials for the recovery of uranium from seawater. Chem. Rev. 2017, 117, 13935–14013. [Google Scholar] [CrossRef] [PubMed]
  8. Li, Z.; Chen, F.; Yuan, L.; Liu, Y.; Zhao, Y.; Chai, Z.; Shi, W. Uranium(VI) adsorption on graphene oxide nanosheets from aqueous solutions. Chem. Eng. J. 2012, 210, 539–546. [Google Scholar] [CrossRef]
  9. Hua, Y.; Wang, W.; Huang, X.; Gu, T.; Ding, D.; Ling, L.; Zhang, W.-X. Effect of bicarbonate on aging and reactivity of nanoscale zerovalent iron (nZVI) toward uranium removal. Chemosphere 2018, 201, 603–611. [Google Scholar] [CrossRef] [PubMed]
  10. Shao, L.; Wang, X.; Ren, Y.; Wang, S.; Zhong, J.; Chu, M.; Tang, H.; Luo, L.; Xie, D. Facile fabrication of magnetic cucurbit [6]uril/graphene oxide composite and application for uranium removal. Chem. Eng. J. 2016, 286, 311–319. [Google Scholar] [CrossRef]
  11. Sun, Y.; Ding, C.; Cheng, W.; Wang, X. Simultaneous adsorption and reduction of U(VI) on reduced graphene oxide-supported nanoscale zerovalent iron. J. Hazard. Mater. 2014, 280, 399–408. [Google Scholar] [CrossRef] [PubMed]
  12. Rizescu, C.; Podolean, I.; Albero, J.; Parvulescu, V.I.; Coman, S.M.; Bucur, C.; Puche, M.; Garcia, H. N-doped graphene as a metal-free catalyst for glucose oxidation to succinic acid. Green Chem. 2017, 19, 1999–2005. [Google Scholar] [CrossRef]
  13. Fei, F.; Cseri, L.; Szekely, G.; Blanford, C.F. Robust covalently cross-linked polybenzimidazole/graphene oxide membranes for high-flux organic solvent nanofiltration. ACS Appl. Mater. Interfaces 2018, 10, 16140–16147. [Google Scholar] [CrossRef] [PubMed]
  14. Tan, L.; Liu, Q.; Jing, X.; Liu, J.; Song, D.; Hu, S.; Liu, L.; Wang, J. Removal of uranium(VI) ions from aqueous solution by magnetic cobalt ferrite/multiwalled carbon nanotubes composites. Chem. Eng. J. 2015, 273, 307–315. [Google Scholar] [CrossRef]
  15. Fasfous, I.I.; Dawoud, J.N. Uranium (VI) sorption by multiwalled carbon nanotubes from aqueous solution. Appl. Surf. Sci. 2012, 259, 433–440. [Google Scholar] [CrossRef]
  16. Luo, H.; Liu, Z.; Chao, L.; Wu, X.; Lei, X.; Chang, Z.; Sun, X. Adsorption and desorption of U(VI) on functionalized graphene oxides: A combined experimental and theoretical study. Environ. Sci. Technol. 2015, 3, 3667–3675. [Google Scholar]
  17. Han, B.; Zhang, E.; Cheng, G.; Zhang, L.; Wang, D.; Wang, X. Hydrothermal carbon superstructures enriched with carboxyl groups for highly efficient uranium removal. Chem. Eng. J. 2018, 338, 734–744. [Google Scholar] [CrossRef]
  18. Lv, M.; Yan, L.; Liu, C.; Su, C.; Zhou, Q.; Zhang, X.; Lan, Y.; Zheng, Y.; Lai, L.; Liu, X.; et al. Non-covalent functionalized graphene oxide (GO) adsorbent with an organic gelator for co-adsorption of dye, endocrine-disruptor, pharmaceutical and metal ion. Chem. Eng. J. 2018, 349, 791–799. [Google Scholar] [CrossRef]
  19. Schierz, A.; Zänker, H. Aqueous suspensions of carbon nanotubes: Surface oxidation, colloidal stability and uranium sorption. Environ. Pollut. 2009, 157, 1088–1094. [Google Scholar] [CrossRef] [PubMed]
  20. Sun, Y.B.; Shao, D.D.; Chen, C.; Yang, S.B.; Wang, X.K. Highly efficient enrichment of radionuclides on graphene oxide-supported polyaniline. Environ. Sci. Technol. 2013, 47, 9904–9910. [Google Scholar] [CrossRef] [PubMed]
  21. Tan, L.; Wang, Y.; Liu, Q.; Wang, J.; Jing, X.; Liu, L.; Liu, J.; Song, D. Enhanced adsorption of uranium (VI) using a three-dimensional layered double hydroxide/graphene hybrid material. Chem. Eng. J. 2015, 259, 752–760. [Google Scholar] [CrossRef]
  22. Li, Z.-J.; Wang, L.; Yuan, L.-Y.; Xiao, C.-L.; Mei, L.; Zheng, L.-R.; Zhang, J.; Yang, J.-H.; Zhao, Y.-L.; Zhu, Z.-T.; et al. Efficient removal of uranium from aqueous solution by zero-valent iron nanoparticle and its graphene composite. J. Hazard. Mater. 2015, 290, 26–33. [Google Scholar] [CrossRef] [PubMed]
  23. El-Maghrabi, H.H.; Abdelmaged, S.M.; Nada, A.A.; Zahran, F.; El-Wahab, S.A.; Yahea, D.; Hussein, G.M.; Atrees, M.S. Magnetic graphene based nanocomposite for uranium scavenging. J. Hazard. Mater. 2017, 322, 370–379. [Google Scholar] [CrossRef] [PubMed]
  24. Song, W.; Wang, X.; Wang, Q.; Shao, D.; Wang, X. Plasma-induced grafting of polyacrylamide on graphene oxide nanosheets for simultaneous removal of radionuclides. Phys. Chem. Chem. Phys. 2015, 17, 398–406. [Google Scholar] [CrossRef] [PubMed]
  25. Hu, R.; Shao, D.; Wang, X. Graphene oxide/polypyrrole composites for highly selective enrichment of U(VI) from aqueous solutions. Polym. Chem. 2014, 5, 6207–6215. [Google Scholar] [CrossRef]
  26. Linghu, W.; Yang, H.; Sun, Y.; Sheng, G.; Huang, Y. One-pot synthesis of LDH/GO composites as highly effective adsorbents for decontamination of U(VI). ACS Sustain. Chem. Eng. 2017, 5, 5608–5616. [Google Scholar] [CrossRef]
  27. Li, J.-R.; Kuppler, R.J.; Zhou, H.-C. Selective gas adsorption and separation in metal-organic frameworks. Chem. Soc. Rev. 2009, 38, 1477–1504. [Google Scholar] [CrossRef] [PubMed]
  28. Chen, H.; Shen, K.; Mao, Q.; Chen, J.; Li, Y. Nanoreactor of MOF-derived yolk–shell Co@C–N: Precisely controllable structure and enhanced catalytic activity. ACS Catal. 2018, 8, 1417–1426. [Google Scholar] [CrossRef]
  29. Towsif Abtab, S.M.; Alezi, D.; Bhatt, P.M.; Shkurenko, A.; Belmabkhout, Y.; Aggarwal, H.; Weseliński, Ł.J.; Alsadun, N.; Samin, U.; Hedhili, M.N.; et al. Reticular chemistry in action: A hydrolytically stable MOF capturing twice its weight in adsorbed water. Chem 2018, 4, 94–105. [Google Scholar] [CrossRef]
  30. Tan, L.; Wang, Y.; Liu, Q.; Wang, J.; Jing, X.; Liu, L.; Liu, J.; Song, D. Superior removal of arsenic from water with zirconium metal-organic framework UiO-66. Sci. Rep. 2015, 259, 752–760. [Google Scholar]
  31. Ma, S.L.; Huang, L.; Ma, L.J.; Shim, Y.; Islam, S.M.; Wang, P.L.; Zhao, L.D.; Wang, S.C.; Sun, G.B.; Yang, X.J.; et al. Functionalized metal-organic framework as a new platform for efficient and selective removal of cadmium (II) from aqueous solution. J. Mater. Chem. A 2015, 137, 3670–3677. [Google Scholar]
  32. Karmakar, S.; Dechnik, J.; Janiak, C.; De, S. Aluminium fumarate metal-organic framework: A super adsorbent for fluoride from water. J. Hazard. Mater. 2016, 303, 10–20. [Google Scholar] [CrossRef] [PubMed]
  33. Campbell, J.; Burgal, J.D.S.; Szekely, G.; Davies, R.P.; Braddock, D.C.; Livingston, A. Hybrid polymer/MOF membranes for organic solvent nanofiltration (OSN): Chemical modification and the quest for perfection. J. Membr. Sci. 2016, 503, 166–176. [Google Scholar] [CrossRef]
  34. Carboni, M.; Abney, C.W.; Liu, S.; Lin, W. Highly porous and stable metal-organic frameworks for uranium extraction. Chem. Sci. 2013, 4, 2396–2402. [Google Scholar] [CrossRef]
  35. Kumar, P.; Pournara, A.; Kim, K.-H.; Bansal, V.; Rapti, S.; Manos, M.J. Metal-organic frameworks: Challenges and opportunities for ion-exchange/sorption applications. Prog. Mater. Sci. 2017, 86, 25–74. [Google Scholar] [CrossRef]
  36. Li, L.N.; Ma, W.; Shen, S.S.; Huang, H.X.; Bai, Y.; Liu, H.W. A combined experimental and theoretical study on the extraction of uranium by amino-derived metal–organic frameworks through post-synthetic strategy. ACS Appl. Mater. Interfaces 2016, 8, 31032–31041. [Google Scholar] [CrossRef] [PubMed]
  37. De Decker, J.; Folens, K.; De Clercq, J.; Meledina, M.; Van Tendeloo, G.; Du Laing, G.; Van Der Voort, P. Ship-in-a-bottle CMPO in MIL-101(Cr) for selective uranium recovery from aqueous streams through adsorption. J. Hazard. Mater. 2017, 335, 1–9. [Google Scholar] [CrossRef] [PubMed]
  38. De Decker, J.; Rochette, J.; De Clercq, J.; Florek, J.; Van Der Voort, P. Carbamoylmethylphosphine oxide-functionalized MIL-101(Cr) as highly selective uranium adsorbent. Anal. Chem. 2017, 89, 5678–5682. [Google Scholar] [CrossRef] [PubMed]
  39. Yang, P.; Liu, Q.; Liu, J.; Zhang, H.; Li, Z.; Li, R.; Liu, L.; Wang, J. Interfacial growth of a metal-organic framework (UiO-66) on functionalized graphene oxide (GO) as a suitable seawater adsorbent for extraction of uranium(VI). J. Mater. Chem. A 2017, 5, 17933–17942. [Google Scholar] [CrossRef]
  40. Bai, Z.Q.; Yuan, L.Y.; Zhu, L.; Liu, Z.R.; Chu, S.Q.; Zheng, L.R.; Zhang, J.; Chai, Z.F.; Shi, W.Q. Introduction of amino groups into acid-resistant MOFs for enhanced U(VI) sorption. J. Mater. Chem. A 2015, 3, 525–534. [Google Scholar] [CrossRef]
  41. Jabbari, V.; Veleta, J.M.; Zarei-Chaleshtori, M.; Gardea-Torresdey, J.; Villagrán, D. Green synthesis of magnetic MOF@GO and MOF@CNT hybrid nanocomposites with high adsorption capacity towards organic pollutants. Chem. Eng. J. 2016, 304, 774–783. [Google Scholar] [CrossRef] [Green Version]
  42. Petit, C.; Bandosz, T.J. MOF–graphite oxide nanocomposites: Surface characterization and evaluation as adsorbents of ammonia. J. Mater. Chem. 2009, 19, 6521–6528. [Google Scholar] [CrossRef]
  43. Hummers, W.S.; Offeman, R.E. Preparation of graphitic oxide. J. Am. Chem. Soc. 1958, 80, 1339. [Google Scholar] [CrossRef]
  44. Karel, F.; Karen, L.; Ricci, N.N.; Maria, M.; Stuart, T.; Gustaaf, V.T.; Du, L.G.; Pascal, V.D.V. Fe3O4@MIL-101—A selective and regenerable adsorbent for the removal of as species from water. Eur. J. Inorg. Chem. 2016, 2016, 4395–4401. [Google Scholar]
  45. Jiang, D.; Burrows, A.D.; Edler, K.J. Size-controlled synthesis of MIL-101(Cr) nanoparticles with enhanced selectivity for CO2 over N2. CrystEngComm 2011, 13, 6916–6919. [Google Scholar] [CrossRef] [Green Version]
  46. Konkena, B.; Vasudevan, S. Understanding aqueous dispersibility of graphene oxide and reduced graphene oxide through pKa measurements. J. Phys. Chem. Lett. 2012, 3, 867–872. [Google Scholar] [CrossRef] [PubMed]
  47. Zhou, X.; Huang, W.; Shi, J.; Zhao, Z.; Xia, Q.; Li, Y.; Wang, H.; Li, Z. A novel mof/graphene oxide composite GrO@MIL-101 with high adsorption capacity for acetone. J. Mater. Chem. A 2014, 2, 4722–4730. [Google Scholar] [CrossRef]
  48. Saikia, M.; Saikia, L. Sulfonic acid-functionalized MIL-101(Cr) as a highly efficient heterogeneous catalyst for one-pot synthesis of 2-amino-4H-chromenes in aqueous medium. RSC Adv. 2016, 6, 15846–15853. [Google Scholar] [CrossRef]
  49. Gao, L.; Li, C.-Y.V.; Yung, H.; Chan, K.-Y. A functionalized MIL-101(Cr) metal-organic framework for enhanced hydrogen release from ammonia borane at low temperature. Chem. Commun. 2013, 49, 10629–10631. [Google Scholar] [CrossRef] [PubMed]
  50. Sun, X.; Xia, Q.; Zhao, Z.; Li, Y.; Li, Z. Synthesis and adsorption performance of MIL-101(Cr)/graphite oxide composites with high capacities of n-hexane. Chem. Eng. J. 2014, 239, 226–232. [Google Scholar] [CrossRef]
  51. Li, X.; Guo, W.; Liu, Z.; Wang, R.; Liu, H. Quinone-modified NH2-MIL-101(Fe) composite as a redox mediator for improved degradation of bisphenol A. J. Hazard. Mater. 2017, 324, 665–672. [Google Scholar] [CrossRef] [PubMed]
  52. Liu, Q.; Ning, L.; Zheng, S.; Tao, M.; Shi, Y.; He, Y. Adsorption of carbon dioxide by MIL-101(Cr): Regeneration conditions and influence of flue gas contaminants. Sci. Rep. 2013, 3, 2916. [Google Scholar] [CrossRef] [PubMed]
  53. Zhang, S.; Shu, X.; Zhou, Y.; Huang, L.; Hua, D. Highly efficient removal of uranium (VI) from aqueous solutions using poly(acrylic acid)-functionalized microspheres. Chem. Eng. J. 2014, 253, 55–62. [Google Scholar] [CrossRef]
  54. Yang, S.-T.; Chen, S.; Chang, Y.; Cao, A.; Liu, Y.; Wang, H. Removal of methylene blue from aqueous solution by graphene oxide. J. Colloid Interface Sci. 2011, 359, 24–29. [Google Scholar] [CrossRef] [PubMed]
  55. Wager, C.D.; Riggs, W.H.; Davis, L.E.; Moulder, J.F.; Meilenberg, G.E. Handbook of X-ray Photoelectron Spectroscopy; Perkin-Elmer Coorperation: Eden Prairie, MN, USA, 1979. [Google Scholar]
  56. VG Scientific Auger Handbook; VG Scientific Limited: West Sussex, UK, 1989.
  57. Makarova, L.G.; Shabanova, I.N.; Kodolov, V.I.; Besogonov, Y.V. X-ray photoelectron spectroscopy as a method to control the received metal–carbon nanostructures. J. Electron Spectrosc. Relat. Phenom. 2004, 137–140, 239–242. [Google Scholar] [CrossRef]
  58. Lu, H.B.; Campbell, C.T.; Graham, D.J.; Ratner, B.D. Surface characterization of hydroxyapatite and related calcium phosphates by XPS and tof-sims. Anal. Chem. 2000, 72, 2886–2894. [Google Scholar] [CrossRef] [PubMed]
  59. Dhankhar, S.; Bhalerao, G.; Ganesamoorthy, S.; Baskar, K.; Singh, S. Growth and comparison of single crystals and polycrystalline brownmillerite Ca2Fe2O5. J. Cryst. Growth 2017, 468, 311–315. [Google Scholar] [CrossRef]
  60. Terzyk, A.P. The influence of activated carbon surface chemical composition on the adsorption of acetaminophen (paracetamol) in vitro: Part II. TG, FTIR, and XPS analysis of carbons and the temperature dependence of adsorption kinetics at the neutral pH. Colloids Surf. A 2001, 177, 23–45. [Google Scholar] [CrossRef]
  61. Liu, Q.; Guo, B.; Rao, Z.; Zhang, B.; Gong, J.R. Strong two-photon-induced fluorescence from photostable, biocompatible nitrogen-doped graphene quantum dots for cellular and deep-tissue imaging. Nano Lett. 2013, 13, 2436–2441. [Google Scholar] [CrossRef] [PubMed]
  62. Han, B.; Cheng, G.; Zhang, E.; Zhang, L.; Wang, X. Three dimensional hierarchically porous ZIF-8 derived carbon/LDH core-shell composite for high performance supercapacitors. Electrochim. Acta 2018, 263, 391–399. [Google Scholar] [CrossRef]
  63. Seredych, M.; Petit, C.; Tamashausky, A.V.; Bandosz, T.J. Role of graphite precursor in the performance of graphite oxides as ammonia adsorbents. Carbon 2009, 47, 445–456. [Google Scholar] [CrossRef]
  64. Hayes, K.F.; Papelis, C.; Leckie, J.O. Modeling ionic strength effects on anion adsorption at hydrous oxide/solution interfaces. J. Colloid Interface Sci. 1988, 125, 717–726. [Google Scholar] [CrossRef]
  65. Azizian, S. Kinetic models of sorption: A theoretical analysis. J. Colloid Interface Sci. 2004, 276, 47–52. [Google Scholar] [CrossRef] [PubMed]
  66. Miyake, Y.; Ishida, H.; Tanaka, S.; Kolev, S.D. Theoretical analysis of the pseudo-second order kinetic model of adsorption. Application to the adsorption of Ag(I) to mesoporous silica microspheres functionalized with thiol groups. Chem. Eng. J. 2013, 218, 350–357. [Google Scholar] [CrossRef]
  67. Dong, W.; Ball, W.P.; Liu, C.; Wang, Z.; Stone, A.T.; Bai, J.; Zachara, J.M. Influence of calcite and dissolved calcium on uranium(VI) sorption to a hanford subsurface sediment. Environ. Sci. Technol. 2005, 39, 7949–7955. [Google Scholar] [CrossRef] [PubMed]
  68. Wen, T.; Wang, X.; Wang, J.; Chen, Z.; Li, J.; Hu, J.; Hayat, T.; Alsaedi, A.; Grambow, B.; Wang, X. A strategically designed porous magnetic N-doped Fe/Fe3C@C matrix and its highly efficient uranium(VI) remediation. Inorg. Chem. Front. 2016, 3, 1227–1235. [Google Scholar] [CrossRef]
  69. Ding, M.; Shi, W.; Guo, L.; Leong, Z.Y.; Baji, A.; Yang, H.Y. Rational design and synthesis of monodispersed hierarchical SiO2@layered double hydroxide nanocomposites for efficient removal of pollutants from aqueous solution. Chem. Eng. J. 2017, 5, 6113–6121. [Google Scholar]
Figure 1. The scanning electron microscopy (SEM) images of (a) GO, (b,f) GO10-MIL-101(Fe) composite, (c,g) GO15-MIL-101(Fe) composite, (d,h) GO20-MIL-101(Fe) composite and (e) MIL-101(Fe).
Figure 1. The scanning electron microscopy (SEM) images of (a) GO, (b,f) GO10-MIL-101(Fe) composite, (c,g) GO15-MIL-101(Fe) composite, (d,h) GO20-MIL-101(Fe) composite and (e) MIL-101(Fe).
Applsci 08 02270 g001
Figure 2. The Attenuated total internal reflection Fourier (ATR-FTIR) spectra of (a) MIL-101(Fe), (b) GO10-MIL-101(Fe), (c) GO15-MIL-101(Fe), (d) GO20-MIL-101(Fe) and (e) GO-15-MIL-101(Fe) loaded with U(VI).
Figure 2. The Attenuated total internal reflection Fourier (ATR-FTIR) spectra of (a) MIL-101(Fe), (b) GO10-MIL-101(Fe), (c) GO15-MIL-101(Fe), (d) GO20-MIL-101(Fe) and (e) GO-15-MIL-101(Fe) loaded with U(VI).
Applsci 08 02270 g002
Figure 3. (a) The survey spectra obtained from X-ray photoelectron spectroscopy (XPS) of GO15-MIL-101(Fe) before and after the adsorption of U(VI), high-resolution spectra of U4f for (b) GO15-MIL-101(Fe)-U, C1s for (c) GO15-MIL-101(Fe) and (d) GO15-MIL-101(Fe)-U, O1s for (e) GO15-MIL-101(Fe) and (f) GO15-MIL-101(Fe)-U.
Figure 3. (a) The survey spectra obtained from X-ray photoelectron spectroscopy (XPS) of GO15-MIL-101(Fe) before and after the adsorption of U(VI), high-resolution spectra of U4f for (b) GO15-MIL-101(Fe)-U, C1s for (c) GO15-MIL-101(Fe) and (d) GO15-MIL-101(Fe)-U, O1s for (e) GO15-MIL-101(Fe) and (f) GO15-MIL-101(Fe)-U.
Applsci 08 02270 g003
Figure 4. (a) The adsorption efficiency of the MIL-101(Fe) and GO-MIL-101(Fe) composite towards U(VI) as a function of pH (C0 = 10 mg L−1, T=298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M), (b) the effect of pH on the zeta potential of the GO10 (15, 20)-MIL-101(Fe) composite and MIL-101(Fe), the effect of (c) adsorbent dose and (d) ionic strength on the adsorption efficiency of MIL-101(Fe) and GO15-MIL-101(Fe) composites. (e) The amount of uranyl ions adsorbed on MIL-101(Fe) and GO15-MIL-101(Fe) composites under different contact times. The experimental condition is C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M for (be). (f) pseudo-second-order simulation result for the adsorption of the U(VI) on MIL-101(Fe) and GO15-MIL-101(Fe) composites.
Figure 4. (a) The adsorption efficiency of the MIL-101(Fe) and GO-MIL-101(Fe) composite towards U(VI) as a function of pH (C0 = 10 mg L−1, T=298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M), (b) the effect of pH on the zeta potential of the GO10 (15, 20)-MIL-101(Fe) composite and MIL-101(Fe), the effect of (c) adsorbent dose and (d) ionic strength on the adsorption efficiency of MIL-101(Fe) and GO15-MIL-101(Fe) composites. (e) The amount of uranyl ions adsorbed on MIL-101(Fe) and GO15-MIL-101(Fe) composites under different contact times. The experimental condition is C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M for (be). (f) pseudo-second-order simulation result for the adsorption of the U(VI) on MIL-101(Fe) and GO15-MIL-101(Fe) composites.
Applsci 08 02270 g004
Figure 5. The effect of different (a) cation ions and (b) anion ions on the amount of adsorbed U (VI) on MIL-101(Fe) and GO15h-MIL-101(Fe) composites (C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M), (c) comparison of adsorption isotherms of MIL-101(Fe) and GO15-MIL-101(Fe) composites, and (d) adsorption isotherms of GO15-MIL-101(Fe) composite under different temperature (T = 298 K, 313 K, 328 K, pH = 5.5, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M). The solid and dashed lines represent the Langmuir model and Freundlich model, respectively.
Figure 5. The effect of different (a) cation ions and (b) anion ions on the amount of adsorbed U (VI) on MIL-101(Fe) and GO15h-MIL-101(Fe) composites (C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M), (c) comparison of adsorption isotherms of MIL-101(Fe) and GO15-MIL-101(Fe) composites, and (d) adsorption isotherms of GO15-MIL-101(Fe) composite under different temperature (T = 298 K, 313 K, 328 K, pH = 5.5, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M). The solid and dashed lines represent the Langmuir model and Freundlich model, respectively.
Applsci 08 02270 g005
Figure 6. The recycling performance of GO15-MIL-101(Fe) in the removal of U(VI) from aqueous solution (C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M).
Figure 6. The recycling performance of GO15-MIL-101(Fe) in the removal of U(VI) from aqueous solution (C0 = 10 mg L−1, pH = 5.5, T = 298 K, m/V = 0.2 g L−1, and I NaNO 3 = 0.01 M).
Applsci 08 02270 g006
Table 1. The kinetic parameters for U(VI) adsorption on MIL-101(Fe) and GO15-MIL-101(Fe).
Table 1. The kinetic parameters for U(VI) adsorption on MIL-101(Fe) and GO15-MIL-101(Fe).
C0 (mg L−1)Pseudo-First-OrderPseudo-Second-Order
k1 (min−1)qe (mg g−1)R2k2 (g mg−1 min−1)qe (mg g−1)R2
MIL-101(Fe)0.36118.400.5770.048518.880.999
GO15-MIL-101(Fe)0.17936.930.9610.011738.460.999
Table 2. The simulated adsorption isotherm parameters of U(VI) on MIL-101(Fe) and GO15-MIL-101(Fe) composites at 298 K.
Table 2. The simulated adsorption isotherm parameters of U(VI) on MIL-101(Fe) and GO15-MIL-101(Fe) composites at 298 K.
T (K)LangmuirFreundlich
qmax (mg g−1)b (L mg−1)R2KF (mol1−n Ln g−1)nR2
MIL-101(Fe)68.930.0530.9917.662.030.969
GO15-MIL-101(Fe)106.890.1320.98924.962.8240.973
Table 3. The simulated adsorption isotherm parameters of U(VI) on GO15-MIL-101(Fe) composite.
Table 3. The simulated adsorption isotherm parameters of U(VI) on GO15-MIL-101(Fe) composite.
T (K)LangmuirFreundlich
qmax (mg g−1)b (L mg−1)R2KF (mol1−n Ln g−1)nR2
298106.890.130.98924.972.820.973
313110.150.170.98828.852.960.901
328133.830.140.98632.202.850.929
Table 4. The thermodynamic parameters for U(VI) adsorption on and the GO15-MIL-101(Fe) composite.
Table 4. The thermodynamic parameters for U(VI) adsorption on and the GO15-MIL-101(Fe) composite.
AdsorbentsΔG0 (kJ mol−1)ΔH0 (kJ mol−1)ΔS0 (J mol−1 K−1)
298 K313 K328 K
GO15-MIL-101(Fe)−23.16−24.71−26.297.96104.34

Share and Cite

MDPI and ACS Style

Han, B.; Zhang, E.; Cheng, G. Facile Preparation of Graphene Oxide-MIL-101(Fe) Composite for the Efficient Capture of Uranium. Appl. Sci. 2018, 8, 2270. https://doi.org/10.3390/app8112270

AMA Style

Han B, Zhang E, Cheng G. Facile Preparation of Graphene Oxide-MIL-101(Fe) Composite for the Efficient Capture of Uranium. Applied Sciences. 2018; 8(11):2270. https://doi.org/10.3390/app8112270

Chicago/Turabian Style

Han, Bing, Enyao Zhang, and Gong Cheng. 2018. "Facile Preparation of Graphene Oxide-MIL-101(Fe) Composite for the Efficient Capture of Uranium" Applied Sciences 8, no. 11: 2270. https://doi.org/10.3390/app8112270

APA Style

Han, B., Zhang, E., & Cheng, G. (2018). Facile Preparation of Graphene Oxide-MIL-101(Fe) Composite for the Efficient Capture of Uranium. Applied Sciences, 8(11), 2270. https://doi.org/10.3390/app8112270

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop